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7 дней назад

Data & AI Engineer (AI)

54 400 - 81 600€
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & AI Engineer (AI) (Data Engineering/Generative AI): Design and implement scalable data pipelines, data models, ETL processes, and machine learning workflows in cloud environments with an accent on data quality, observability, governance, and AI-ready data. Focus on building reliable orchestration and monitoring, integrating CI/CD and infrastructure as code, and solving complex data engineering challenges across technical and business teams.

Location: Paris, France; hybrid with Monday, Tuesday, and Wednesday onsite

Salary: €54,400–€81,600 per year, plus short-term and collective variable compensation

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines to improve patient outcomes worldwide.

What you will do

  • Design and implement scalable, reliable end-to-end data pipelines in cloud environments.
  • Develop and optimize data models, data warehouse solutions, ETL/ELT processes, and machine learning workflows.
  • Translate business requirements into technical solutions and define interface contracts between data products and applications.
  • Implement data quality, standardization, observability, governance, monitoring, and operational KPI tracking.
  • Automate data ingestion and maintain pipeline health through troubleshooting and monitoring systems.
  • Contribute to engineering standards, design patterns, CI/CD integrations, containerized deployments, code reviews, and technical documentation.

Requirements

  • Strong experience designing and implementing data pipelines and data warehouse solutions in cloud environments.
  • Production experience with data modeling, ETL/ELT, and pipeline orchestration.
  • Strong SQL skills and experience with data warehousing platforms; Snowflake is preferred.
  • Experience with IICS or equivalent ETL tools, dbt, Python, AWS, and Airflow.
  • Experience with generative AI technologies and best practices, including vector databases.
  • English is mandatory. A master’s degree in computer science, engineering, or a related field is required.

Nice to have

  • Experience with GitHub Actions, Terraform, and infrastructure as code.
  • Experience designing engineering patterns and technical standards.

Culture & Benefits

  • Hybrid work with up to two remote days per week.
  • 31 days of paid leave plus RTT depending on employment status.
  • Health insurance, parental leave, illness support, teleconsultation, and wellness programs.
  • Public transportation coverage of up to 80%.
  • Group savings and retirement plans with employer matching.
  • Internal and international mobility, learning and development opportunities, and employee recognition programs.

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